Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.

Johns Hopkins University
Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Google Gemini, Prompt Engineering Tools, Artificial Intelligence, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis
Intermediate · Course · 1 - 3 Months

University of Lausanne
Skills you'll gain: Health Policy, Public Health, Health Systems, Geographic Information Systems, Systems Thinking, Community Health, Spatial Analysis, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Collection, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Data Preprocessing, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Unstructured Data, Data Cleansing, Data Processing, Classification Algorithms, Deep Learning, Machine Learning Methods, Unified Modeling Language, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Model Deployment, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Data Cleansing, Supervised Learning, Data Transformation, Model Evaluation, Data Quality
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Cloud Services, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Data Analysis, Data Ethics, Application Programming Interface (API)
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis
Beginner · Course · 1 - 3 Months

Universidades Anáhuac
Skills you'll gain: AI Enablement, Artificial Intelligence, Customer Analysis, Business Analytics, Business Intelligence, Image Analysis, Machine Learning, Decision Tree Learning, Virtual Environment, Big Data, Data Analysis, Supervised Learning, Classification Algorithms, Natural Language Processing, Unsupervised Learning
Beginner · Course · 1 - 3 Months